In a study on the dissemination of fake news, users of a social network were classified into two groups: ''susceptible'' and 'not susceptible'. Suppose that in the social network considered in the study, the probability of a randomly drawn user being susceptible is 0.5. In this social network, the probability of a user propagating fake news is 0.9, if the user is "susceptible". Otherwise, this probability is 0.15. Based on this data, calculate the probability: Note: All final answers must be rounded to 4 decimal places of approximation, but do not do any rounding in the middle stages of the solution. a) the probability of a randomly drawn social network user propagating fake news. b) the conditional probability that a randomly drawn user is susceptible, given that he propagates fake news. c) the conditional probability that the randomly drawn user is "not susceptible", since he does not propagate fake news.

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In a study on the dissemination of fake news, users of a social network were classified into two groups: ''susceptible'' and 'not susceptible'. Suppose that in the social network considered in the study, the probability of a randomly drawn user being susceptible is 0.5. In this social network, the probability of a user propagating fake news is 0.9, if the user is "susceptible". Otherwise, this probability is 0.15. Based on this data, calculate the probability:

Note: All final answers must be rounded to 4 decimal places of approximation, but do not do any rounding in the middle stages of the solution.

a) the probability of a randomly drawn social network user propagating fake news.

b) the conditional probability that a randomly drawn user is susceptible, given that he propagates fake news.

c) the conditional probability that the randomly drawn user is "not susceptible", since he does not propagate fake news.

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